Peter Schichtel

991 total citations
21 papers, 496 citations indexed

About

Peter Schichtel is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Schichtel has authored 21 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 4 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Schichtel's work include Particle physics theoretical and experimental studies (13 papers), High-Energy Particle Collisions Research (10 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). Peter Schichtel is often cited by papers focused on Particle physics theoretical and experimental studies (13 papers), High-Energy Particle Collisions Research (10 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). Peter Schichtel collaborates with scholars based in Germany, United Kingdom and United States. Peter Schichtel's co-authors include Tilman Plehn, Simon Plätzer, Johannes Bellm, Andreas Dengel, Graeme Nail, Andrzej Siódmok, Sheraz Ahmed, Michael Rauch, D. Grellscheid and Christian Reuschle and has published in prestigious journals such as Physics Letters B, IEEE Access and Journal of High Energy Physics.

In The Last Decade

Peter Schichtel

19 papers receiving 488 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Schichtel Germany	10	403	60	60	30	27	21	496
Nicolás Rojas-Morales Chile	9	213 0.5×	29 0.5×	77 1.3×	8 0.3×	14 0.5×	27	332
M. Calabrese Italy	8	52 0.1×	114 1.9×	20 0.3×	9 0.3×	7 0.3×	13	257
P. C. Bhat United States	7	82 0.2×	8 0.1×	39 0.7×	15 0.5×	2 0.1×	17	169
J. Castle United States	7	16 0.0×	62 1.0×	67 1.1×	17 0.6×	11 0.4×	21	193
Cyril Briand France	9	41 0.1×	122 2.0×	10 0.2×	6 0.2×	49 1.8×	34	262
J. Ngadiuba United States	8	119 0.3×	5 0.1×	99 1.6×	47 1.6×	2 0.1×	19	252
S. K. Ghosh India	13	11 0.0×	210 3.5×	10 0.2×	28 0.9×	8 0.3×	53	534
N. Agrawal India	7	32 0.1×	7 0.1×	13 0.2×	216 7.2×	3 0.1×	24	330
Ewing Lusk United States	6	47 0.1×	5 0.1×	16 0.3×	13 0.4×	5 0.2×	12	217
P. Chris Broekema Netherlands	8	12 0.0×	58 1.0×	13 0.2×	16 0.5×	4 0.1×	17	145

Countries citing papers authored by Peter Schichtel

Since Specialization

Citations

This map shows the geographic impact of Peter Schichtel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Schichtel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schichtel more than expected).

Fields of papers citing papers by Peter Schichtel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Schichtel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Schichtel. The network helps show where Peter Schichtel may publish in the future.

Co-authorship network of co-authors of Peter Schichtel

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schichtel. A scholar is included among the top collaborators of Peter Schichtel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Schichtel. Peter Schichtel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Asim, Muhammad Nabeel, et al.. (2024). RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles. IEEE Access. 12. 21472–21490. 1 indexed citations

Schichtel, Peter, et al.. (2023). Quantifying quality of class-conditional generative models in time series domain. Applied Intelligence. 53(20). 24530–24550. 4 indexed citations

Schichtel, Peter, et al.. (2022). Random Noise vs. State-of-the-Art Probabilistic Forecasting Methods: A Case Study on CRPS-Sum Discrimination Ability. Applied Sciences. 12(10). 5104–5104. 3 indexed citations

Bellm, Johannes, Silvia Ferrario Ravasio, Stefan Gieseke, et al.. (2020). . Edinburgh Research Explorer (University of Edinburgh). 80 indexed citations

Schichtel, Peter, et al.. (2020). Conceptual Explanations of Neural Network Prediction for Time Series. 1–6. 4 indexed citations

Schichtel, Peter, et al.. (2019). Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks – ForGAN. IEEE Access. 7. 63868–63880. 64 indexed citations

Campanario, Francisco, Terrance Figy, Simon Plätzer, et al.. (2018). Stress testing the vector-boson-fusion approximation in multijet final states. Physical review. D. 98(3). 10 indexed citations

Ahmed, Sheraz, et al.. (2018). Sensorlose Prozesse mit künstlicher Intelligenz erfassen und steuern. 23(S2). 42–45.

Bellm, Johannes, Stefan Gieseke, D. Grellscheid, et al.. (2017). NLO efforts in Herwig++. Homo Politicus (Academy of Humanities and Economics in Lodz). 1 indexed citations

10.

Englert, Christoph, Peter Schichtel, & Michael Spannowsky. (2017). Same-sign W pair production in composite Higgs models. Physical review. D. 95(5). 7 indexed citations

11.

Kling, Felix, Tilman Plehn, & Peter Schichtel. (2017). Maximizing the significance in Higgs boson pair analyses. Physical review. D. 95(3). 37 indexed citations

12.

Bellm, Johannes, Michael H. Seymour, Christian Reuschle, et al.. (2017). Herwig 7.1 Release Note : arXiv.

13.

Bellm, Johannes, Graeme Nail, Simon Plätzer, Peter Schichtel, & Andrzej Siódmok. (2016). Parton-shower uncertainties with Herwig 7: benchmarks at leading order. The European Physical Journal C. 76(12). 21 indexed citations

14.

Brooijmans, G., Peter Schichtel, & Michael Spannowsky. (2016). Cosmic ray air showers from sphalerons. Physics Letters B. 761. 213–218. 22 indexed citations

15.

Bellm, Johannes, Stefan Gieseke, D. Grellscheid, et al.. (2016). Herwig 7.0/Herwig++ 3.0 release note. Repository KITopen (Karlsruhe Institute of Technology). 162 indexed citations

16.

Plehn, Tilman, et al.. (2015). Spying an invisible Higgs boson. Physical review. D. Particles, fields, gravitation, and cosmology. 91(3). 24 indexed citations

17.

Mellado, B., et al.. (2014). Improving Higgs plus jets analyses through Fox-Wolfram moments. Physical review. D. Particles, fields, gravitation, and cosmology. 89(5). 7 indexed citations

18.

Plehn, Tilman, et al.. (2014). Where boosted significances come from. Physical review. D. Particles, fields, gravitation, and cosmology. 89(5). 15 indexed citations

19.

Englert, Christoph, Tilman Plehn, Peter Schichtel, & S. Schumann. (2012). Establishing jet scaling patterns with a photon. Journal of High Energy Physics. 2012(2). 7 indexed citations

20.

Englert, Christoph, Tilman Plehn, Peter Schichtel, & S. Schumann. (2011). Autofocusing searches in jets plus missing energy. Physical review. D. Particles, fields, gravitation, and cosmology. 83(9). 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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